Abstract
In liquid argon time projection chambers exposed to neutrino beams and running on or near surface levels, cosmic muons, and other cosmic particles are incident on the detectors while a single neutrino-induced event is being recorded. In practice, this means that data from surface liquid argon time projection chambers will be dominated by cosmic particles, both as a source of event triggers and as the majority of the particle count in true neutrino-triggered events. In this work, we demonstrate a novel application of deep learning techniques to remove these background particles by applying deep learning on full detector images from the SBND detector, the near detector in the Fermilab Short-Baseline Neutrino Program. We use this technique to identify, on a pixel-by-pixel level, whether recorded activity originated from cosmic particles or neutrino interactions.
Highlights
Liquid argon time projection chambers (LArTPCs) are high resolution, calorimetric imaging particle detectors
LArTPCs operating near the Earth’s surface [such as SBND, MicroBooNE, and ICARUS comprising the Short-Baseline Neutrino (SBN) program at Fermilab] are susceptible to backgrounds induced by cosmic interactions, which occur at much higher rates than neutrino interactions
We will focus on the near detector of the SBN Program at Fermilab, the Short Baseline Near Detector or SBND, since it is the origin of the dataset used here
Summary
Liquid argon time projection chambers (LArTPCs) are high resolution, calorimetric imaging particle detectors. Due to their excellent calorimetric properties and particle identification capabilities (Acciarri et al, 2017b), combined with their scalability to kiloton masses (Abi et al, 2018a), LArTPCs have been selected for a variety of experiments to detect neutrinos in the MeV to GeV energy range. Others are commissioning (ICARUS at Fermilab, Antonello et al, 2015a) or under construction (SBND at Fermilab, Antonello et al, 2015a) Coming later this decade, the Deep Underground Neutrino Experiment, DUNE (Abi et al, 2018b), will be a 104-ton-scale LArTPC neutrino detector built 1.5 km underground in the Homestake Mine in South Dakota.
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